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Prop
Bespoke trading solutions for clients seeking payouts through the online prop-firm industry, starting with a meeting with our team.
Mission & purpose
To help clients participate in the online prop-firm industry through trading undertaken on their behalf, with a bespoke investment solution agreed directly with the Quantopus team.
Key areas of focus
What this division concentrates on
Client-focused trading
Trading on behalf of clients with the objective of generating eligible prop-firm payouts, subject to the firm's terms and trading results.
Bespoke investment solution
Discuss your objectives, risk tolerance and circumstances with our team before agreeing a tailored approach.
Firm-specific requirements
Any proposed solution must comply with the selected firm's account-access, third-party trading, evaluation and payout rules.
Online prop firms
One team. A bespoke approach.
Explore established names in the online prop-firm industry. Your solution starts with a conversation, not a one-size-fits-all package.
Firm logos identify independent third parties, not Quantopus partners or endorsements. They are not a ranking or confirmation of service availability. Account access and third-party trading rules vary by firm; inclusion does not mean a firm permits managed trading.
By consultation
Your objectives.
Your bespoke solution.
Meet the Quantopus team to discuss trading on your behalf with the objective of generating eligible prop-firm payouts.
- 01 Discuss your goals and risk tolerance
- 02 Review firm eligibility and trading rules
- 03 Agree a bespoke investment solution
Payouts depend on trading results and firm approval. No payout or return is guaranteed.
Within the ecosystem
Connected, not duplicated.
Combines Research strategy evaluation and Software tooling with a client-specific trading and risk framework.
Future capabilities
- Bespoke solution proposalsPlanned
- Firm-specific eligibility reviewsPlanned
- Client payout reportingPlanned
- Agreed trading and risk parametersPlanned
Research previews
Related publications
The Overfitting Problem: Why Most Backtests Lie
An illustrative look at how parameter searches inflate apparent performance — and the validation habits that help.
18 September 2026 · 8 min read
Position Sizing and the Mathematics of Survival
A sample note on why the size of a position often matters more than the quality of the signal.
27 August 2026 · 6 min read
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